American Electric Power
Data Scientist / Data Scientist Senior
Columbus, OH · Senior
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odds of building a lasting career here
Thin sponsorship signal and lottery-bound (~30% per draw). A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$11,155 more — $98,155 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $98,155 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Operations Research Analysts" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Operations Research Analysts (15-2031) · Columbus, OH. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- AEP is seeking a motivated and detail-oriented Data Scientist or Data Scientist Senior to join our Supply Forecasting team.
- Conduct periodic studies and monitor industry trends relevant to AEP's service territory to inform planning and strategic decision-making around our generation fleet.
Responsibilities
- Forecasting & Modeling: Develop and maintain industry leading econometric and time series models that support regulatory filings and corporate planning.
- Regulatory Support: Contribute to reports and analysis used in regulatory filings such as base cases, fuel filings, capacity resource plans, and securitization filings.
- Variance Analysis: Assist in preparing unit dispatch and market variance analyses to measure performance and support corporate strategies.
- Data Collection & Management: Gather and manage data related to unit dispatch, fuel prices, power prices, and economic indicators to support forecasting and analysis. Create and maintain database tables to support data storage, retrieval, and reporting needs.
- Visualization & Reporting: Create clear, compelling reports and visualizations to communicate findings to business partners and senior management.
- Collaboration: Work closely with internal stakeholders to understand business needs and provide analytical support.
- Develop and maintain industry leading econometric and time series models that support regulatory filings and corporate planning.
- Regulatory Support:
- Assist in preparing unit dispatch and market variance analyses to measure performance and support corporate strategies.
- If you don't have an account, you can create one.
Requirements
- Bachelor's degree in economics, data science, mathematics, operations research, statistics, computer science or related technical field is required.
- 2 years of relevant work experience is required.
- 5 years of relevant work experience is required.
- Coding: experience and knowledge of statistical software packages such as R, Python, and /or SAS
- Forecasting Expertise: Experience with forecasting through econometric modeling or time series analysis.
- Visualization Tools: Proficiency with data visualization platforms such as Power BI, or similar tools.
- Experience Requirements:
- Communication Skills: Ability to translate complex data into clear, actionable insights for non-technical stakeholders.
- When required by law, we might record certain information or applicants for employment may be invited to voluntarily disclose protected characteristics.
Nice to have
- Preferred Skills and Experience:
- Database Skills: Strong SQL skills and experience working with large relational databases.
Skills
- experience and knowledge of statistical software packages such as R, Python, and /or SAS
- Experience with forecasting through econometric modeling or time series analysis.
- Proficiency with data visualization platforms such as Power BI, or similar tools.
- Strong SQL skills and experience working with large relational databases.
- Experience working with Plexos, Aurora, or Encompass software also a plus.
- Ability to translate complex data into clear, actionable insights for non-technical stakeholders.
- Communication
- Utility Industry Experience: Prior experience in the energy or utilities sector is a plus.
- Where You'll Work:
- What You'll Get:
- Salary Range between: $87,000-$105,000 (Data Scientist), $100,000-$120,000 (Data Scientist Senior)
- Annual Bonus
Compensation
- $87,633.00 - $128,688.00
- Salary Range between: $87,000-$105,000 (Data Scientist), $100,000-$120,000 (Data Scientist Senior)
Benefits
- Comprehensive Benefits Package that aims to support and enhance the overall well-being of our employees
Company info
- At AEP, we're more than just an energy company - we're a team of dedicated professionals committed to delivering safe, reliable, and innovative energy solutions.
- Guided by our mission to put the customer first, we strive to exceed expectations by listening, responding, and continuously improving the way we serve our communities.
- If you're passionate about making a meaningful impact and being part of a forward-thinking organization, this is the company for you.
This listing is sourced directly from American Electric Power's careers page and normalized into a canonical job model.